Boolean Valued Analysis

  • A. G. Kusraev
  • S. S. Kutateladze

Part of the Mathematics and Its Applications book series (MAIA, volume 494)

Table of contents

  1. Front Matter
    Pages i-xii
  2. A. G. Kusraev, S. S. Kutateladze
    Pages 1-40
  3. A. G. Kusraev, S. S. Kutateladze
    Pages 41-88
  4. A. G. Kusraev, S. S. Kutateladze
    Pages 89-140
  5. A. G. Kusraev, S. S. Kutateladze
    Pages 141-198
  6. A. G. Kusraev, S. S. Kutateladze
    Pages 199-250
  7. A. G. Kusraev, S. S. Kutateladze
    Pages 251-280
  8. Back Matter
    Pages 281-332

About this book

Introduction

Boolean valued analysis is a technique for studying properties of an arbitrary mathematical object by comparing its representations in two different set-theoretic models whose construction utilises principally distinct Boolean algebras. The use of two models for studying a single object is a characteristic of the so-called non-standard methods of analysis. Application of Boolean valued models to problems of analysis rests ultimately on the procedures of ascending and descending, the two natural functors acting between a new Boolean valued universe and the von Neumann universe.

This book demonstrates the main advantages of Boolean valued analysis which provides the tools for transforming, for example, function spaces to subsets of the reals, operators to functionals, and vector-functions to numerical mappings. Boolean valued representations of algebraic systems, Banach spaces, and involutive algebras are examined thoroughly.

Audience: This volume is intended for classical analysts seeking powerful new tools, and for model theorists in search of challenging applications of nonstandard models.

Keywords

Banach algebra Banach space Boolean algebra C*-algebra Volume algebra banach spaces character construction form function space maximum principle model object presentation

Authors and affiliations

  • A. G. Kusraev
    • 1
  • S. S. Kutateladze
    • 2
  1. 1.Institute for Mathematics and InformaticsVladikavkazRussia
  2. 2.Sobolev Institute of MathematicsSiberian Division of the Russian Academy of SciencesNovosibirskRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-011-4443-8
  • Copyright Information Kluwer Academic Publishers 1999
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-5908-4
  • Online ISBN 978-94-011-4443-8
  • About this book
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